Profiling Report

Dataset statistics

Number of variables	50
Number of observations	11033
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.5 MiB
Average record size in memory	332.0 B

Variable types

Numeric	21
Categorical	29

Alerts

`subCategoryB` has constant value ""	Constant
`isnewincident` has constant value ""	Constant
`Unnamed 0` is highly overall correlated with `id` and 1 other fields	High correlation
`id` is highly overall correlated with `Unnamed 0` and 2 other fields	High correlation
`longitude` is highly overall correlated with `distance_to_CBD`	High correlation
`subCategoryA` is highly overall correlated with `multi_vehicle`	High correlation
`displayname` is highly overall correlated with `maincategory` and 2 other fields	High correlation
`adviceA` is highly overall correlated with `closuretype` and 1 other fields	High correlation
`mainstreet` is highly overall correlated with `Motorway Crew`	High correlation
`lanes` is highly overall correlated with `closuretype`	High correlation
`count_attending` is highly overall correlated with `Tow Truck` and 2 other fields	High correlation
`distance_to_CBD` is highly overall correlated with `longitude`	High correlation
`starttime_month` is highly overall correlated with `Unnamed 0` and 3 other fields	High correlation
`maincategory` is highly overall correlated with `displayname` and 3 other fields	High correlation
`closuretype` is highly overall correlated with `adviceA` and 3 other fields	High correlation
`lanesaffected` is highly overall correlated with `closuretype`	High correlation
`multi_vehicle` is highly overall correlated with `subCategoryA` and 2 other fields	High correlation
`Tow Truck` is highly overall correlated with `count_attending`	High correlation
`Motorway Crew` is highly overall correlated with `mainstreet`	High correlation
`Emergency services` is highly overall correlated with `displayname` and 2 other fields	High correlation
`Other` is highly overall correlated with `adviceA` and 1 other fields	High correlation
`starttime_year` is highly overall correlated with `id` and 2 other fields	High correlation
`isMajor` is highly imbalanced (71.7%)	Imbalance
`Crime Scene` is highly imbalanced (97.4%)	Imbalance
`Bus company` is highly imbalanced (99.6%)	Imbalance
`Tyre fitter` is highly imbalanced (99.1%)	Imbalance
`Mechanic` is highly imbalanced (81.0%)	Imbalance
`Sydney Ports` is highly imbalanced (99.7%)	Imbalance
`Local Council` is highly imbalanced (99.7%)	Imbalance
`NRMA` is highly imbalanced (98.9%)	Imbalance
`Heavy Vehicle Inspectors` is highly imbalanced (99.0%)	Imbalance
`Sweeper` is highly imbalanced (99.5%)	Imbalance
`Heavy vehicle tow truck` is highly imbalanced (71.0%)	Imbalance
`Tyre Fitter` is highly imbalanced (99.7%)	Imbalance
`Utility Company` is highly imbalanced (93.7%)	Imbalance
`Roadside Assistance` is highly imbalanced (99.9%)	Imbalance
`Helicopter` is highly imbalanced (98.9%)	Imbalance
`Crash Investigation Unit` is highly imbalanced (91.8%)	Imbalance
`starttime_year` is highly imbalanced (93.0%)	Imbalance
`Unnamed 0` has unique values	Unique
`adviceA` has 213 (1.9%) zeros	Zeros
`adviceB` has 2311 (20.9%) zeros	Zeros
`otherAdvice` has 10273 (93.1%) zeros	Zeros
`direction` has 140 (1.3%) zeros	Zeros
`starttime_weekday` has 1605 (14.5%) zeros	Zeros
`starttime_hour` has 116 (1.1%) zeros	Zeros
`starttime_minute` has 221 (2.0%) zeros	Zeros

Reproduction

Analysis started	2024-03-11 23:06:22.163511
Analysis finished	2024-03-11 23:07:59.823424
Duration	1 minute and 37.66 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

Unnamed 0
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11033
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8281.9906

Minimum	1
Maximum	17102
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	1
5-th percentile	569.6
Q1	4111
median	8109
Q3	12599
95-th percentile	15847.2
Maximum	17102
Range	17101
Interquartile range (IQR)	8488

Descriptive statistics

Standard deviation	4914.0312
Coefficient of variation (CV)	0.59333939
Kurtosis	-1.2007914
Mean	8281.9906
Median Absolute Deviation (MAD)	4327
Skewness	0.013386271
Sum	91375202
Variance	24147703
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
10985	1	< 0.1%
10965	1	< 0.1%
10969	1	< 0.1%
10972	1	< 0.1%
10974	1	< 0.1%
10978	1	< 0.1%
10979	1	< 0.1%
10982	1	< 0.1%
10984	1	< 0.1%
Other values (11023)	11023	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
17102	1	< 0.1%
17101	1	< 0.1%
17100	1	< 0.1%
17099	1	< 0.1%
17098	1	< 0.1%
17096	1	< 0.1%
17095	1	< 0.1%
17091	1	< 0.1%
17089	1	< 0.1%
17086	1	< 0.1%

id
Real number (ℝ)

HIGH CORRELATION

Distinct	5706
Distinct (%)	51.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	118899.1

Minimum	43155
Maximum	128338
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	43155
5-th percentile	110328
Q1	113830
median	119307
Q3	123824
95-th percentile	127550
Maximum	128338
Range	85183
Interquartile range (IQR)	9994

Descriptive statistics

Standard deviation	6187.9831
Coefficient of variation (CV)	0.052043988
Kurtosis	21.167108
Mean	118899.1
Median Absolute Deviation (MAD)	4917
Skewness	-2.0038434
Sum	1.3118137 × 10⁹
Variance	38291135
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
108252	66	0.6%
101976	33	0.3%
120833	26	0.2%
95659	22	0.2%
122769	21	0.2%
122388	20	0.2%
119464	19	0.2%
125858	18	0.2%
128172	17	0.2%
125825	17	0.2%
Other values (5696)	10774	97.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
43155	11	0.1%
95659	22	0.2%
100553	11	0.1%
101976	33	0.3%
107684	11	0.1%
108252	66	0.6%
109547	11	0.1%
109551	1	< 0.1%
109553	1	< 0.1%
109556	4	< 0.1%

Value	Count	Frequency (%)
128338	1	< 0.1%
128337	1	< 0.1%
128335	1	< 0.1%
128330	1	< 0.1%
128327	2	< 0.1%
128326	2	< 0.1%
128324	8	0.1%
128322	2	< 0.1%
128319	1	< 0.1%
128316	1	< 0.1%

maincategory
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

1	5539
0	5385
2	109

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	5539	50.2%
0	5385	48.8%
2	109	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5539	50.2%
0	5385	48.8%
2	109	1.0%

Most occurring characters

Value	Count	Frequency (%)
1	5539	50.2%
0	5385	48.8%
2	109	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5539	50.2%
0	5385	48.8%
2	109	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5539	50.2%
0	5385	48.8%
2	109	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5539	50.2%
0	5385	48.8%
2	109	1.0%

longitude
Real number (ℝ)

HIGH CORRELATION

Distinct	4989
Distinct (%)	45.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	151.10729

Minimum	150.87534
Maximum	151.30365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	150.87534
5-th percentile	150.95975
Q1	151.03752
median	151.1133
Q3	151.18945
95-th percentile	151.22549
Maximum	151.30365
Range	0.42831444
Interquartile range (IQR)	0.15192735

Descriptive statistics

Standard deviation	0.089973298
Coefficient of variation (CV)	0.0005954266
Kurtosis	-1.0091117
Mean	151.10729
Median Absolute Deviation (MAD)	0.075967258
Skewness	-0.1883372
Sum	1667166.7
Variance	0.0080951943
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
151.2663884	66	0.6%
151.0210045	33	0.3%
151.1178416	26	0.2%
150.9576753	25	0.2%
151.2109853	23	0.2%
151.0738178	22	0.2%
151.0834442	21	0.2%
151.1734685	21	0.2%
151.1714301	20	0.2%
150.9908029	20	0.2%
Other values (4979)	10756	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
150.8753388	1	< 0.1%
150.9155738	1	< 0.1%
150.9170244	1	< 0.1%
150.9174042	8	0.1%
150.9175208	3	< 0.1%
150.9175281	2	< 0.1%
150.9175286	1	< 0.1%
150.9175313	1	< 0.1%
150.9176935	1	< 0.1%
150.9177088	2	< 0.1%

Value	Count	Frequency (%)
151.3036532	2	< 0.1%
151.2991724	2	< 0.1%
151.2983989	5	< 0.1%
151.2980048	5	< 0.1%
151.2976545	1	< 0.1%
151.2972783	1	< 0.1%
151.2971827	1	< 0.1%
151.2966473	1	< 0.1%
151.2961147	1	< 0.1%
151.2953047	1	< 0.1%

latitude
Real number (ℝ)

Distinct	5010
Distinct (%)	45.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-33.868494

Minimum	-34.085829
Maximum	-33.687838
Zeros	0
Zeros (%)	0.0%
Negative	11033
Negative (%)	100.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	-34.085829
5-th percentile	-33.969869
Q1	-33.929238
median	-33.871086
Q3	-33.81791
95-th percentile	-33.741737
Maximum	-33.687838
Range	0.3979912
Interquartile range (IQR)	0.11132752

Descriptive statistics

Standard deviation	0.072159971
Coefficient of variation (CV)	-0.0021305928
Kurtosis	-0.25386415
Mean	-33.868494
Median Absolute Deviation (MAD)	0.054784235
Skewness	0.036640587
Sum	-373671.09
Variance	0.0052070614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-33.8714826	66	0.6%
-33.83135102	33	0.3%
-33.70461825	26	0.2%
-33.8944404	25	0.2%
-33.83633	23	0.2%
-33.85546713	22	0.2%
-33.9525606	21	0.2%
-33.9459451	21	0.2%
-33.7219503	20	0.2%
-33.9298764	20	0.2%
Other values (5000)	10756	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-34.0858287	1	< 0.1%
-34.08142688	1	< 0.1%
-34.07990445	5	< 0.1%
-34.07950996	1	< 0.1%
-34.0794868	2	< 0.1%
-34.07555601	1	< 0.1%
-34.0746229	4	< 0.1%
-34.07458291	1	< 0.1%
-34.07295217	1	< 0.1%
-34.07048369	3	< 0.1%

Value	Count	Frequency (%)
-33.6878375	5	< 0.1%
-33.69051864	4	< 0.1%
-33.69142094	1	< 0.1%
-33.69230216	1	< 0.1%
-33.69240333	4	< 0.1%
-33.69273277	2	< 0.1%
-33.69277174	3	< 0.1%
-33.6935721	1	< 0.1%
-33.69551576	3	< 0.1%
-33.6966894	1	< 0.1%

duration
Real number (ℝ)

Distinct	10831
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.723214

Minimum	1.0014333
Maximum	1038.0941
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	1.0014333
5-th percentile	3.3437633
Q1	13.701283
median	28.037333
Q3	52.261333
95-th percentile	141.58101
Maximum	1038.0941
Range	1037.0927
Interquartile range (IQR)	38.56005

Descriptive statistics

Standard deviation	56.647702
Coefficient of variation (CV)	1.2666286
Kurtosis	28.96921
Mean	44.723214
Median Absolute Deviation (MAD)	16.889233
Skewness	4.0700719
Sum	493431.22
Variance	3208.9621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31.25456667	11	0.1%
48.30671667	11	0.1%
150.20255	11	0.1%
20.11616667	11	0.1%
66.13966667	11	0.1%
12.9415	11	0.1%
11.64028333	11	0.1%
33.9305	11	0.1%
126.4965	11	0.1%
220.7816667	11	0.1%
Other values (10821)	10923	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.001433333	1	< 0.1%
1.005833333	1	< 0.1%
1.006783333	1	< 0.1%
1.00705	1	< 0.1%
1.018333333	1	< 0.1%
1.019216667	1	< 0.1%
1.02345	1	< 0.1%
1.023616667	1	< 0.1%
1.029	1	< 0.1%
1.029383333	1	< 0.1%

Value	Count	Frequency (%)
1038.094117	1	< 0.1%
884.46	1	< 0.1%
597.9344	1	< 0.1%
594.4488833	1	< 0.1%
588.5066	1	< 0.1%
577.1800667	1	< 0.1%
557.3058833	1	< 0.1%
536.8422167	1	< 0.1%
518.7523833	1	< 0.1%
509.5341167	1	< 0.1%

subCategoryA
Real number (ℝ)

HIGH CORRELATION

Distinct	46
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.667815

Minimum	0
Maximum	45
Zeros	11
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	14
Q3	33
95-th percentile	41
Maximum	45
Range	45
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	13.798349
Coefficient of variation (CV)	0.73915183
Kurtosis	-1.2471476
Mean	18.667815
Median Absolute Deviation (MAD)	13
Skewness	0.28810943
Sum	205962
Variance	190.39445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
14	3186	28.9%
1	2130	19.3%
33	1367	12.4%
41	1258	11.4%
27	549	5.0%
4	426	3.9%
36	376	3.4%
10	301	2.7%
17	212	1.9%
29	194	1.8%
Other values (36)	1034	9.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	0.1%
1	2130	19.3%
2	40	0.4%
3	23	0.2%
4	426	3.9%
5	112	1.0%
6	3	< 0.1%
7	87	0.8%
8	6	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
45	1	< 0.1%
44	1	< 0.1%
43	3	< 0.1%
42	111	1.0%
41	1258	11.4%
40	4	< 0.1%
39	36	0.3%
38	36	0.3%
37	7	0.1%
36	376	3.4%

subCategoryB
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11033

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11033	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11033	100.0%

displayname
Real number (ℝ)

HIGH CORRELATION

Distinct	157
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.958579

Minimum	0
Maximum	156
Zeros	8
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	5
median	48
Q3	62
95-th percentile	120
Maximum	156
Range	156
Interquartile range (IQR)	57

Descriptive statistics

Standard deviation	37.729133
Coefficient of variation (CV)	0.82093777
Kurtosis	-0.43830697
Mean	45.958579
Median Absolute Deviation (MAD)	28
Skewness	0.6635413
Sum	507061
Variance	1423.4875
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	3077	27.9%
51	2012	18.2%
33	1478	13.4%
76	687	6.2%
110	541	4.9%
60	402	3.6%
130	363	3.3%
3	286	2.6%
94	207	1.9%
30	192	1.7%
Other values (147)	1788	16.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	0.1%
1	2	< 0.1%
2	74	0.7%
3	286	2.6%
4	2	< 0.1%
5	3077	27.9%
6	1	< 0.1%
7	2	< 0.1%
8	3	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
156	1	< 0.1%
155	1	< 0.1%
154	2	< 0.1%
153	3	< 0.1%
152	1	< 0.1%
151	2	< 0.1%
150	2	< 0.1%
149	3	< 0.1%
148	1	< 0.1%
147	1	< 0.1%

isMajor
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	10490
1	543

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10490	95.1%
1	543	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10490	95.1%
1	543	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	10490	95.1%
1	543	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10490	95.1%
1	543	4.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10490	95.1%
1	543	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10490	95.1%
1	543	4.9%

adviceA
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	19
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.9921146

Minimum	0
Maximum	18
Zeros	213
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	6
median	6
Q3	13
95-th percentile	14
Maximum	18
Range	18
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.5548816
Coefficient of variation (CV)	0.56992196
Kurtosis	-1.2559598
Mean	7.9921146
Median Absolute Deviation (MAD)	5
Skewness	-0.037877055
Sum	88177
Variance	20.746947
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
6	4142	37.5%
13	3559	32.3%
1	1414	12.8%
7	711	6.4%
14	371	3.4%
2	273	2.5%
0	213	1.9%
15	185	1.7%
16	100	0.9%
12	18	0.2%
Other values (9)	47	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	213	1.9%
1	1414	12.8%
2	273	2.5%
3	3	< 0.1%
4	15	0.1%
5	10	0.1%
6	4142	37.5%
7	711	6.4%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
18	1	< 0.1%
17	2	< 0.1%
16	100	0.9%
15	185	1.7%
14	371	3.4%
13	3559	32.3%
12	18	0.2%
11	11	0.1%
10	1	< 0.1%
9	2	< 0.1%

adviceB
Real number (ℝ)

ZEROS

Distinct	45
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.656757

Minimum	0
Maximum	44
Zeros	2311
Zeros (%)	20.9%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	12
Q3	12
95-th percentile	29
Maximum	44
Range	44
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	10.521849
Coefficient of variation (CV)	0.9026395
Kurtosis	-0.15699011
Mean	11.656757
Median Absolute Deviation (MAD)	11
Skewness	0.75652993
Sum	128609
Variance	110.70931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
12	4733	42.9%
0	2311	20.9%
29	1393	12.6%
1	1360	12.3%
20	410	3.7%
37	176	1.6%
13	97	0.9%
38	75	0.7%
17	48	0.4%
28	41	0.4%
Other values (35)	389	3.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2311	20.9%
1	1360	12.3%
2	2	< 0.1%
3	32	0.3%
4	1	< 0.1%
5	1	< 0.1%
6	32	0.3%
7	4	< 0.1%
8	15	0.1%
9	11	0.1%

Value	Count	Frequency (%)
44	13	0.1%
43	10	0.1%
42	14	0.1%
41	14	0.1%
40	24	0.2%
39	5	< 0.1%
38	75	0.7%
37	176	1.6%
36	11	0.1%
35	3	< 0.1%

otherAdvice
Real number (ℝ)

ZEROS

Distinct	350
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.765612

Minimum	0
Maximum	349
Zeros	10273
Zeros (%)	93.1%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	94
Maximum	349
Range	349
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	50.89013
Coefficient of variation (CV)	4.3253278
Kurtosis	22.733304
Mean	11.765612
Median Absolute Deviation (MAD)	0
Skewness	4.7665361
Sum	129810
Variance	2589.8053
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10273	93.1%
94	38	0.3%
25	11	0.1%
96	10	0.1%
92	9	0.1%
93	9	0.1%
204	9	0.1%
82	8	0.1%
259	8	0.1%
179	7	0.1%
Other values (340)	651	5.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10273	93.1%
1	2	< 0.1%
2	2	< 0.1%
3	3	< 0.1%
4	3	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
7	3	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
349	5	< 0.1%
348	1	< 0.1%
347	5	< 0.1%
346	5	< 0.1%
345	2	< 0.1%
344	3	< 0.1%
343	4	< 0.1%
342	2	< 0.1%
341	2	< 0.1%
340	3	< 0.1%

closuretype
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

2	6858
0	3478
1	697

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	0

Common Values

Value	Count	Frequency (%)
2	6858	62.2%
0	3478	31.5%
1	697	6.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	6858	62.2%
0	3478	31.5%
1	697	6.3%

Most occurring characters

Value	Count	Frequency (%)
2	6858	62.2%
0	3478	31.5%
1	697	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	6858	62.2%
0	3478	31.5%
1	697	6.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	6858	62.2%
0	3478	31.5%
1	697	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	6858	62.2%
0	3478	31.5%
1	697	6.3%

direction
Real number (ℝ)

ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3804042

Minimum	0
Maximum	8
Zeros	140
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	8
Maximum	8
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.2814645
Coefficient of variation (CV)	0.42403216
Kurtosis	-0.92975466
Mean	5.3804042
Median Absolute Deviation (MAD)	2
Skewness	-0.4870503
Sum	59362
Variance	5.2050801
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
7	2637	23.9%
5	2558	23.2%
8	2525	22.9%
3	2296	20.8%
1	743	6.7%
0	140	1.3%
2	130	1.2%
6	3	< 0.1%
4	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	140	1.3%
1	743	6.7%
2	130	1.2%
3	2296	20.8%
4	1	< 0.1%
5	2558	23.2%
6	3	< 0.1%
7	2637	23.9%
8	2525	22.9%

Value	Count	Frequency (%)
8	2525	22.9%
7	2637	23.9%
6	3	< 0.1%
5	2558	23.2%
4	1	< 0.1%
3	2296	20.8%
2	130	1.2%
1	743	6.7%
0	140	1.3%

mainstreet
Real number (ℝ)

HIGH CORRELATION

Distinct	577
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	314.19741

Minimum	0
Maximum	576
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	46
Q1	180
median	319
Q3	441
95-th percentile	550
Maximum	576
Range	576
Interquartile range (IQR)	261

Descriptive statistics

Standard deviation	159.72872
Coefficient of variation (CV)	0.50837058
Kurtosis	-1.1465131
Mean	314.19741
Median Absolute Deviation (MAD)	125
Skewness	-0.14342096
Sum	3466540
Variance	25513.264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
293	501	4.5%
336	427	3.9%
427	390	3.5%
527	353	3.2%
441	323	2.9%
220	306	2.8%
180	254	2.3%
136	251	2.3%
319	243	2.2%
239	242	2.2%
Other values (567)	7743	70.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	13	0.1%
2	6	0.1%
3	1	< 0.1%
4	19	0.2%
5	1	< 0.1%
6	1	< 0.1%
7	16	0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
576	5	< 0.1%
575	2	< 0.1%
574	113	1.0%
573	1	< 0.1%
572	58	0.5%
571	1	< 0.1%
570	11	0.1%
569	1	< 0.1%
568	5	< 0.1%
567	18	0.2%

lanesaffected
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

1.0	6223
-1.0	3848
2.0	885
3.0	50
4.0	27

Length

Max length	4
Median length	3
Mean length	3.3487719
Min length	3

Characters and Unicode

Total characters	36947
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	-1.0

Common Values

Value	Count	Frequency (%)
1.0	6223	56.4%
-1.0	3848	34.9%
2.0	885	8.0%
3.0	50	0.5%
4.0	27	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	10071	91.3%
2.0	885	8.0%
3.0	50	0.5%
4.0	27	0.2%

Most occurring characters

Value	Count	Frequency (%)
.	11033	29.9%
0	11033	29.9%
1	10071	27.3%
-	3848	10.4%
2	885	2.4%
3	50	0.1%
4	27	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22066	59.7%
Other Punctuation	11033	29.9%
Dash Punctuation	3848	10.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11033	50.0%
1	10071	45.6%
2	885	4.0%
3	50	0.2%
4	27	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	11033	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3848	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	36947	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	11033	29.9%
0	11033	29.9%
1	10071	27.3%
-	3848	10.4%
2	885	2.4%
3	50	0.1%
4	27	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	11033	29.9%
0	11033	29.9%
1	10071	27.3%
-	3848	10.4%
2	885	2.4%
3	50	0.1%
4	27	0.1%

lanes
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4800145

Minimum	-1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	4287
Negative (%)	38.9%
Memory size	86.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	2
Q3	3
95-th percentile	4
Maximum	10
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.095392
Coefficient of variation (CV)	1.4157915
Kurtosis	-1.4413827
Mean	1.4800145
Median Absolute Deviation (MAD)	2
Skewness	-0.09271848
Sum	16329
Variance	4.3906674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
-1	4287	38.9%
3	3293	29.8%
2	1781	16.1%
4	1233	11.2%
5	348	3.2%
6	64	0.6%
1	13	0.1%
7	8	0.1%
8	5	< 0.1%
10	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	4287	38.9%
1	13	0.1%
2	1781	16.1%
3	3293	29.8%
4	1233	11.2%
5	348	3.2%
6	64	0.6%
7	8	0.1%
8	5	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
8	5	< 0.1%
7	8	0.1%
6	64	0.6%
5	348	3.2%
4	1233	11.2%
3	3293	29.8%
2	1781	16.1%
1	13	0.1%
-1	4287	38.9%

suburb
Real number (ℝ)

Distinct	328
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	173.16115

Minimum	0
Maximum	327
Zeros	26
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	103
median	182
Q3	255
95-th percentile	309
Maximum	327
Range	327
Interquartile range (IQR)	152

Descriptive statistics

Standard deviation	93.255669
Coefficient of variation (CV)	0.53854844
Kurtosis	-1.0403279
Mean	173.16115
Median Absolute Deviation (MAD)	75
Skewness	-0.27592014
Sum	1910487
Variance	8696.6198
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
181	379	3.4%
288	352	3.2%
216	238	2.2%
5	202	1.8%
191	191	1.7%
186	163	1.5%
196	162	1.5%
29	156	1.4%
262	153	1.4%
124	153	1.4%
Other values (318)	8884	80.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26	0.2%
1	8	0.1%
2	5	< 0.1%
3	15	0.1%
4	1	< 0.1%
5	202	1.8%
6	68	0.6%
7	110	1.0%
8	12	0.1%
9	113	1.0%

Value	Count	Frequency (%)
327	1	< 0.1%
326	1	< 0.1%
325	31	0.3%
324	61	0.6%
323	11	0.1%
322	11	0.1%
321	81	0.7%
320	7	0.1%
319	3	< 0.1%
318	21	0.2%

ended
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

1	5683
0	5350

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5683	51.5%
0	5350	48.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5683	51.5%
0	5350	48.5%

Most occurring characters

Value	Count	Frequency (%)
1	5683	51.5%
0	5350	48.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5683	51.5%
0	5350	48.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	5683	51.5%
0	5350	48.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	5683	51.5%
0	5350	48.5%

isnewincident
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11033

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11033	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11033	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11033	100.0%

count_attending
Real number (ℝ)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.542101

Minimum	0
Maximum	5
Zeros	11
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.70663835
Coefficient of variation (CV)	0.45823092
Kurtosis	1.0164755
Mean	1.542101
Median Absolute Deviation (MAD)	0
Skewness	1.1589406
Sum	17014
Variance	0.49933775
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	6247	56.6%
2	3705	33.6%
3	933	8.5%
4	127	1.2%
0	11	0.1%
5	10	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	0.1%
1	6247	56.6%
2	3705	33.6%
3	933	8.5%
4	127	1.2%
5	10	0.1%

Value	Count	Frequency (%)
5	10	0.1%
4	127	1.2%
3	933	8.5%
2	3705	33.6%
1	6247	56.6%
0	11	0.1%

distance_to_CBD
Real number (ℝ)

HIGH CORRELATION

Distinct	5023
Distinct (%)	45.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.860733

Minimum	0.10471289
Maximum	32.214274
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	86.3 KiB

Quantile statistics

Minimum	0.10471289
5-th percentile	1.6071321
Q1	6.6379596
median	12.980484
Q3	19.090044
95-th percentile	24.377243
Maximum	32.214274
Range	32.109562
Interquartile range (IQR)	12.452085

Descriptive statistics

Standard deviation	7.2631172
Coefficient of variation (CV)	0.56475143
Kurtosis	-1.0461336
Mean	12.860733
Median Absolute Deviation (MAD)	6.1947907
Skewness	0.058564139
Sum	141892.46
Variance	52.752871
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.530487649	66	0.6%
17.79789884	33	0.3%
20.43236091	26	0.2%
23.15253418	25	0.2%
4.114164888	23	0.2%
12.44843767	22	0.2%
14.39534087	21	0.2%
8.628185843	21	0.2%
20.92900818	20	0.2%
17.09540509	20	0.2%
Other values (5013)	10756	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1047128944	1	< 0.1%
0.1368488833	6	0.1%
0.1686331612	1	< 0.1%
0.2263128854	1	< 0.1%
0.2760782153	1	< 0.1%
0.2899489754	1	< 0.1%
0.3010319453	2	< 0.1%
0.303265914	3	< 0.1%
0.3140012585	1	< 0.1%
0.3175158395	1	< 0.1%

Value	Count	Frequency (%)
32.21427446	1	< 0.1%
29.20514309	1	< 0.1%
29.20261163	5	< 0.1%
29.17982264	2	< 0.1%
29.14541148	3	< 0.1%
29.07165961	1	< 0.1%
29.06837068	6	0.1%
29.04702692	1	< 0.1%
28.98804487	4	< 0.1%
28.98747383	1	< 0.1%

multi_vehicle
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	6233
1	4800

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6233	56.5%
1	4800	43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6233	56.5%
1	4800	43.5%

Most occurring characters

Value	Count	Frequency (%)
0	6233	56.5%
1	4800	43.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6233	56.5%
1	4800	43.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6233	56.5%
1	4800	43.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6233	56.5%
1	4800	43.5%

Crime Scene
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11004
1	29

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11004	99.7%
1	29	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11004	99.7%
1	29	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	11004	99.7%
1	29	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11004	99.7%
1	29	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11004	99.7%
1	29	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11004	99.7%
1	29	0.3%

Tow Truck
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	9677
1	1356

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9677	87.7%
1	1356	12.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	9677	87.7%
1	1356	12.3%

Most occurring characters

Value	Count	Frequency (%)
0	9677	87.7%
1	1356	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9677	87.7%
1	1356	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9677	87.7%
1	1356	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9677	87.7%
1	1356	12.3%

Transport for NSW
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

1	6310
0	4723

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	6310	57.2%
0	4723	42.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	6310	57.2%
0	4723	42.8%

Most occurring characters

Value	Count	Frequency (%)
1	6310	57.2%
0	4723	42.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	6310	57.2%
0	4723	42.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6310	57.2%
0	4723	42.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	6310	57.2%
0	4723	42.8%

Bus company
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11030
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11030	> 99.9%
1	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11030	> 99.9%
1	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11030	> 99.9%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11030	> 99.9%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11030	> 99.9%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11030	> 99.9%
1	3	< 0.1%

Tyre fitter
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11025
1	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11025	99.9%
1	8	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11025	99.9%
1	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11025	99.9%
1	8	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11025	99.9%
1	8	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11025	99.9%
1	8	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11025	99.9%
1	8	0.1%

Mechanic
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	10712
1	321

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10712	97.1%
1	321	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10712	97.1%
1	321	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	10712	97.1%
1	321	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10712	97.1%
1	321	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10712	97.1%
1	321	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10712	97.1%
1	321	2.9%

Sydney Ports
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11031
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Local Council
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11031
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

NRMA
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11022
1	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Heavy Vehicle Inspectors
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11023
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11023	99.9%
1	10	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11023	99.9%
1	10	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11023	99.9%
1	10	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11023	99.9%
1	10	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11023	99.9%
1	10	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11023	99.9%
1	10	0.1%

Sweeper
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11029
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11029	> 99.9%
1	4	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11029	> 99.9%
1	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11029	> 99.9%
1	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11029	> 99.9%
1	4	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11029	> 99.9%
1	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11029	> 99.9%
1	4	< 0.1%

Heavy vehicle tow truck
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	10472
1	561

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10472	94.9%
1	561	5.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10472	94.9%
1	561	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	10472	94.9%
1	561	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10472	94.9%
1	561	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10472	94.9%
1	561	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10472	94.9%
1	561	5.1%

Tyre Fitter
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11031
1	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11031	> 99.9%
1	2	< 0.1%

Utility Company
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	10951
1	82

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10951	99.3%
1	82	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10951	99.3%
1	82	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	10951	99.3%
1	82	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10951	99.3%
1	82	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10951	99.3%
1	82	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10951	99.3%
1	82	0.7%

Motorway Crew
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	9569
1	1464

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	9569	86.7%
1	1464	13.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	9569	86.7%
1	1464	13.3%

Most occurring characters

Value	Count	Frequency (%)
0	9569	86.7%
1	1464	13.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9569	86.7%
1	1464	13.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9569	86.7%
1	1464	13.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9569	86.7%
1	1464	13.3%

Emergency services
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	5907
1	5126

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	5907	53.5%
1	5126	46.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5907	53.5%
1	5126	46.5%

Most occurring characters

Value	Count	Frequency (%)
0	5907	53.5%
1	5126	46.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5907	53.5%
1	5126	46.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5907	53.5%
1	5126	46.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5907	53.5%
1	5126	46.5%

Roadside Assistance
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11032
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11032	> 99.9%
1	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11032	> 99.9%
1	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11032	> 99.9%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11032	> 99.9%
1	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11032	> 99.9%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11032	> 99.9%
1	1	< 0.1%

Other
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	9435
1	1598

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	9435	85.5%
1	1598	14.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	9435	85.5%
1	1598	14.5%

Most occurring characters

Value	Count	Frequency (%)
0	9435	85.5%
1	1598	14.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9435	85.5%
1	1598	14.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9435	85.5%
1	1598	14.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9435	85.5%
1	1598	14.5%

Helicopter
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	11022
1	11

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11022	99.9%
1	11	0.1%

Crash Investigation Unit
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

0	10920
1	113

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	11033
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10920	99.0%
1	113	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	10920	99.0%
1	113	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	10920	99.0%
1	113	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11033	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10920	99.0%
1	113	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10920	99.0%
1	113	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10920	99.0%
1	113	1.0%

starttime_year
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	86.3 KiB

2022	10879
2021	143
2019	11

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	44132
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022
2nd row	2022
3rd row	2022
4th row	2022
5th row	2022

Common Values

Value	Count	Frequency (%)
2022	10879	98.6%
2021	143	1.3%
2019	11	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2022	10879	98.6%
2021	143	1.3%
2019	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
2	32934	74.6%
0	11033	25.0%
1	154	0.3%
9	11	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	44132	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	32934	74.6%
0	11033	25.0%
1	154	0.3%
9	11	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	44132	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	32934	74.6%
0	11033	25.0%
1	154	0.3%
9	11	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	32934	74.6%
0	11033	25.0%
1	154	0.3%
9	11	< 0.1%

starttime_month
Real number (ℝ)

HIGH CORRELATION

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0861053

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	12
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.0731326
Coefficient of variation (CV)	0.50736153
Kurtosis	0.17251079
Mean	4.0861053
Median Absolute Deviation (MAD)	2
Skewness	0.40378385
Sum	45082
Variance	4.2978789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2	1732	15.7%
5	1705	15.5%
6	1655	15.0%
3	1634	14.8%
4	1544	14.0%
7	1330	12.1%
1	1301	11.8%
12	77	0.7%
10	33	0.3%
9	11	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1301	11.8%
2	1732	15.7%
3	1634	14.8%
4	1544	14.0%
5	1705	15.5%
6	1655	15.0%
7	1330	12.1%
9	11	0.1%
10	33	0.3%
11	11	0.1%

Value	Count	Frequency (%)
12	77	0.7%
11	11	0.1%
10	33	0.3%
9	11	0.1%
7	1330	12.1%
6	1655	15.0%
5	1705	15.5%
4	1544	14.0%
3	1634	14.8%
2	1732	15.7%

starttime_day
Real number (ℝ)

Distinct	31
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.013142

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.4981074
Coefficient of variation (CV)	0.5306958
Kurtosis	-1.1325926
Mean	16.013142
Median Absolute Deviation (MAD)	7
Skewness	-0.040177852
Sum	176673
Variance	72.217829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
24	496	4.5%
9	431	3.9%
21	422	3.8%
20	421	3.8%
15	415	3.8%
18	406	3.7%
11	403	3.7%
17	389	3.5%
26	389	3.5%
14	384	3.5%
Other values (21)	6877	62.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	344	3.1%
2	268	2.4%
3	255	2.3%
4	321	2.9%
5	352	3.2%
6	375	3.4%
7	327	3.0%
8	336	3.0%
9	431	3.9%
10	382	3.5%

Value	Count	Frequency (%)
31	194	1.8%
30	292	2.6%
29	279	2.5%
28	332	3.0%
27	379	3.4%
26	389	3.5%
25	364	3.3%
24	496	4.5%
23	337	3.1%
22	362	3.3%

starttime_weekday
Real number (ℝ)

ZEROS

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6651863

Minimum	0
Maximum	6
Zeros	1605
Zeros (%)	14.5%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.8192229
Coefficient of variation (CV)	0.68258753
Kurtosis	-1.0078137
Mean	2.6651863
Median Absolute Deviation (MAD)	1
Skewness	0.17261642
Sum	29405
Variance	3.309572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	1939	17.6%
3	1898	17.2%
1	1807	16.4%
4	1735	15.7%
0	1605	14.5%
5	1208	10.9%
6	841	7.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1605	14.5%
1	1807	16.4%
2	1939	17.6%
3	1898	17.2%
4	1735	15.7%
5	1208	10.9%
6	841	7.6%

Value	Count	Frequency (%)
6	841	7.6%
5	1208	10.9%
4	1735	15.7%
3	1898	17.2%
2	1939	17.6%
1	1807	16.4%
0	1605	14.5%

starttime_hour
Real number (ℝ)

ZEROS

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.170035

Minimum	0
Maximum	23
Zeros	116
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	8
median	12
Q3	16
95-th percentile	20
Maximum	23
Range	23
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.0499052
Coefficient of variation (CV)	0.41494581
Kurtosis	-0.69125276
Mean	12.170035
Median Absolute Deviation (MAD)	4
Skewness	-0.046103717
Sum	134272
Variance	25.501542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
16	834	7.6%
7	817	7.4%
6	817	7.4%
17	810	7.3%
15	783	7.1%
8	761	6.9%
13	678	6.1%
11	637	5.8%
12	634	5.7%
9	614	5.6%
Other values (14)	3648	33.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	116	1.1%
1	88	0.8%
2	67	0.6%
3	112	1.0%
4	165	1.5%
5	213	1.9%
6	817	7.4%
7	817	7.4%
8	761	6.9%
9	614	5.6%

Value	Count	Frequency (%)
23	144	1.3%
22	183	1.7%
21	177	1.6%
20	245	2.2%
19	331	3.0%
18	589	5.3%
17	810	7.3%
16	834	7.6%
15	783	7.1%
14	610	5.5%

starttime_minute
Real number (ℝ)

ZEROS

Distinct	60
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.355479

Minimum	0
Maximum	59
Zeros	221
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	43.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	15
median	31
Q3	46
95-th percentile	57
Maximum	59
Range	59
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	17.510227
Coefficient of variation (CV)	0.57683908
Kurtosis	-1.2141831
Mean	30.355479
Median Absolute Deviation (MAD)	15
Skewness	-0.055190664
Sum	334912
Variance	306.60803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	269	2.4%
59	227	2.1%
0	221	2.0%
41	217	2.0%
37	216	2.0%
19	213	1.9%
15	213	1.9%
52	209	1.9%
7	209	1.9%
27	206	1.9%
Other values (50)	8833	80.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	221	2.0%
1	175	1.6%
2	153	1.4%
3	158	1.4%
4	147	1.3%
5	199	1.8%
6	174	1.6%
7	209	1.9%
8	156	1.4%
9	138	1.3%

Value	Count	Frequency (%)
59	227	2.1%
58	198	1.8%
57	202	1.8%
56	269	2.4%
55	171	1.5%
54	202	1.8%
53	183	1.7%
52	209	1.9%
51	185	1.7%
50	201	1.8%

Auto

Heatmap
Table

	Unnamed 0	id	longitude	latitude	duration	subCategoryA	displayname	adviceA	adviceB	otherAdvice	direction	mainstreet	lanes	suburb	count_attending	distance_to_CBD	starttime_month	starttime_day	starttime_weekday	starttime_hour	starttime_minute	maincategory	isMajor	closuretype	lanesaffected	ended	multi_vehicle	Crime Scene	Tow Truck	Transport for NSW	Bus company	Tyre fitter	Mechanic	Sydney Ports	Local Council	NRMA	Heavy Vehicle Inspectors	Sweeper	Heavy vehicle tow truck	Tyre Fitter	Utility Company	Motorway Crew	Emergency services	Roadside Assistance	Other	Helicopter	Crash Investigation Unit	starttime_year
Unnamed 0	1.000	0.925	-0.001	0.019	-0.006	-0.024	0.042	-0.033	-0.037	0.064	-0.033	-0.042	-0.038	-0.012	0.059	0.002	0.968	-0.012	-0.001	-0.021	0.022	0.112	0.133	0.071	0.061	0.296	0.069	0.086	0.058	0.080	0.038	0.043	0.059	0.000	0.025	0.058	0.051	0.059	0.048	0.000	0.042	0.030	0.065	0.000	0.065	0.026	0.120	0.111
id	0.925	1.000	-0.008	0.006	-0.028	-0.068	0.004	-0.005	-0.053	0.046	-0.009	-0.046	-0.026	-0.008	0.045	0.000	0.911	0.129	-0.012	0.021	0.019	0.261	0.046	0.041	0.268	0.067	0.064	0.032	0.055	0.073	0.049	0.021	0.017	0.000	0.000	0.000	0.000	0.006	0.045	0.000	0.038	0.019	0.063	0.000	0.037	0.000	0.031	0.865
longitude	-0.001	-0.008	1.000	0.030	-0.050	-0.005	-0.186	-0.060	0.019	-0.034	-0.017	0.083	-0.029	0.061	-0.136	-0.866	0.012	-0.028	0.031	0.013	0.022	0.314	0.088	0.084	0.082	0.104	0.154	0.072	0.061	0.094	0.000	0.029	0.055	0.053	0.000	0.004	0.030	0.080	0.072	0.023	0.094	0.122	0.172	0.000	0.108	0.024	0.174	0.259
latitude	0.019	0.006	0.030	1.000	0.026	-0.003	-0.067	0.036	0.026	0.007	0.002	0.092	0.111	0.135	-0.017	0.080	0.020	-0.011	-0.024	0.007	0.003	0.129	0.136	0.113	0.083	0.074	0.121	0.154	0.062	0.099	0.000	0.059	0.035	0.090	0.000	0.033	0.029	0.025	0.075	0.000	0.080	0.212	0.195	0.000	0.126	0.058	0.151	0.152
duration	-0.006	-0.028	-0.050	0.026	1.000	0.128	0.091	-0.038	-0.004	0.058	-0.021	-0.008	-0.091	-0.034	0.072	0.083	0.011	-0.003	0.017	-0.048	0.044	0.177	0.152	0.090	0.035	0.087	0.051	0.158	0.023	0.061	0.000	0.000	0.077	0.000	0.000	0.000	0.000	0.022	0.135	0.000	0.282	0.054	0.051	0.000	0.036	0.000	0.209	0.143
subCategoryA	-0.024	-0.068	-0.005	-0.003	0.128	1.000	0.041	0.078	0.064	0.017	0.040	-0.013	0.062	-0.013	-0.020	-0.010	-0.022	0.011	-0.025	-0.069	0.032	0.488	0.283	0.148	0.137	0.193	0.848	0.323	0.192	0.100	0.078	0.037	0.449	0.012	0.021	0.020	0.063	0.126	0.326	0.012	0.083	0.118	0.293	0.000	0.108	0.061	0.146	0.148
displayname	0.042	0.004	-0.186	-0.067	0.091	0.041	1.000	-0.061	0.033	0.182	-0.116	-0.026	-0.211	-0.032	0.341	0.209	0.020	0.028	0.018	-0.070	-0.008	0.738	0.250	0.250	0.215	0.269	0.877	0.128	0.196	0.110	0.000	0.099	0.167	0.015	0.015	0.019	0.135	0.112	0.327	0.015	0.151	0.145	0.525	0.000	0.127	0.072	0.197	0.105
adviceA	-0.033	-0.005	-0.060	0.036	-0.038	0.078	-0.061	1.000	0.186	-0.011	0.029	-0.042	0.145	-0.028	0.060	0.064	-0.032	-0.011	0.098	0.032	0.009	0.239	0.390	0.545	0.212	0.239	0.169	0.376	0.094	0.218	0.000	0.000	0.049	0.078	0.015	0.000	0.024	0.000	0.052	0.000	0.158	0.130	0.236	0.000	0.528	0.033	0.196	0.474
adviceB	-0.037	-0.053	0.019	0.026	-0.004	0.064	0.033	0.186	1.000	0.083	-0.035	-0.009	0.110	-0.029	0.149	-0.008	-0.036	-0.019	0.035	-0.019	0.014	0.168	0.396	0.422	0.170	0.187	0.182	0.282	0.069	0.162	0.031	0.000	0.034	0.000	0.000	0.000	0.023	0.000	0.061	0.000	0.054	0.120	0.200	0.000	0.293	0.072	0.270	0.159
otherAdvice	0.064	0.046	-0.034	0.007	0.058	0.017	0.182	-0.011	0.083	1.000	-0.077	-0.028	-0.117	0.021	0.174	0.057	0.048	-0.000	-0.025	-0.050	-0.015	0.118	0.212	0.178	0.115	0.148	0.100	0.074	0.094	0.080	0.069	0.000	0.028	0.000	0.000	0.000	0.026	0.220	0.066	0.000	0.140	0.042	0.151	0.000	0.054	0.074	0.138	0.000
direction	-0.033	-0.009	-0.017	0.002	-0.021	0.040	-0.116	0.029	-0.035	-0.077	1.000	0.037	0.127	-0.013	-0.073	-0.001	-0.045	0.001	-0.035	0.099	-0.003	0.200	0.115	0.284	0.192	0.095	0.183	0.046	0.039	0.111	0.000	0.016	0.082	0.000	0.000	0.000	0.027	0.022	0.044	0.000	0.151	0.271	0.207	0.000	0.046	0.000	0.061	0.127
mainstreet	-0.042	-0.046	0.083	0.092	-0.008	-0.013	-0.026	-0.042	-0.009	-0.028	0.037	1.000	0.047	0.020	-0.005	-0.028	-0.046	-0.018	0.024	-0.026	-0.004	0.172	0.062	0.082	0.081	0.082	0.069	0.087	0.076	0.253	0.015	0.063	0.069	0.047	0.023	0.016	0.061	0.059	0.102	0.033	0.057	0.512	0.185	0.000	0.119	0.027	0.073	0.190
lanes	-0.038	-0.026	-0.029	0.111	-0.091	0.062	-0.211	0.145	0.110	-0.117	0.127	0.047	1.000	0.038	0.074	0.012	-0.032	-0.023	0.001	0.008	-0.028	0.201	0.137	0.646	0.491	0.108	0.209	0.030	0.120	0.256	0.053	0.000	0.109	0.000	0.011	0.020	0.007	0.033	0.101	0.000	0.065	0.174	0.092	0.000	0.452	0.000	0.082	0.089
suburb	-0.012	-0.008	0.061	0.135	-0.034	-0.013	-0.032	-0.028	-0.029	0.021	-0.013	0.020	0.038	1.000	-0.039	-0.058	-0.015	0.033	-0.026	0.024	-0.003	0.144	0.047	0.064	0.083	0.047	0.057	0.098	0.076	0.108	0.006	0.043	0.057	0.026	0.017	0.017	0.087	0.057	0.066	0.022	0.050	0.197	0.097	0.028	0.099	0.035	0.096	0.132
count_attending	0.059	0.045	-0.136	-0.017	0.072	-0.020	0.341	0.060	0.149	0.174	-0.073	-0.005	0.074	-0.039	1.000	0.159	0.033	0.021	-0.008	-0.060	0.002	0.324	0.282	0.199	0.122	0.226	0.239	0.298	0.553	0.482	0.000	0.031	0.160	0.000	0.039	0.032	0.196	0.175	0.280	0.000	0.266	0.118	0.612	0.000	0.360	0.088	0.320	0.707
distance_to_CBD	0.002	0.000	-0.866	0.080	0.083	-0.010	0.209	0.064	-0.008	0.057	-0.001	-0.028	0.012	-0.058	0.159	1.000	-0.010	0.023	-0.043	-0.036	-0.010	0.171	0.100	0.072	0.076	0.088	0.162	0.067	0.062	0.093	0.010	0.037	0.051	0.021	0.021	0.000	0.073	0.041	0.085	0.015	0.096	0.137	0.196	0.000	0.095	0.023	0.090	0.129
starttime_month	0.968	0.911	0.012	0.020	0.011	-0.022	0.020	-0.032	-0.036	0.048	-0.045	-0.046	-0.032	-0.015	0.033	-0.010	1.000	-0.019	0.003	-0.011	0.024	0.557	0.070	0.106	0.121	0.114	0.079	0.054	0.064	0.129	0.000	0.035	0.054	0.017	0.017	0.045	0.044	0.044	0.031	0.000	0.047	0.091	0.096	0.000	0.158	0.018	0.089	0.672
starttime_day	-0.012	0.129	-0.028	-0.011	-0.003	0.011	0.028	-0.011	-0.019	-0.000	0.001	-0.018	-0.023	0.033	0.021	0.023	-0.019	1.000	-0.039	-0.002	0.023	0.143	0.045	0.061	0.063	0.030	0.017	0.076	0.052	0.012	0.022	0.045	0.035	0.026	0.028	0.019	0.059	0.050	0.053	0.026	0.061	0.017	0.051	0.000	0.054	0.035	0.078	0.150
starttime_weekday	-0.001	-0.012	0.031	-0.024	0.017	-0.025	0.018	0.098	0.035	-0.025	-0.035	0.024	0.001	-0.026	-0.008	-0.043	0.003	-0.039	1.000	0.025	-0.029	0.106	0.060	0.050	0.054	0.054	0.020	0.107	0.044	0.077	0.008	0.031	0.066	0.023	0.041	0.027	0.046	0.036	0.087	0.023	0.045	0.023	0.144	0.014	0.081	0.030	0.058	0.107
starttime_hour	-0.021	0.021	0.013	0.007	-0.048	-0.069	-0.070	0.032	-0.019	-0.050	0.099	-0.026	0.008	0.024	-0.060	-0.036	-0.011	-0.002	0.025	1.000	0.001	0.171	0.089	0.130	0.092	0.121	0.119	0.081	0.065	0.026	0.000	0.028	0.039	0.050	0.031	0.027	0.053	0.025	0.087	0.055	0.057	0.024	0.196	0.000	0.133	0.029	0.119	0.158
starttime_minute	0.022	0.019	0.022	0.003	0.044	0.032	-0.008	0.009	0.014	-0.015	-0.003	-0.004	-0.028	-0.003	0.002	-0.010	0.024	0.023	-0.029	0.001	1.000	0.137	0.072	0.065	0.072	0.039	0.022	0.110	0.031	0.047	0.019	0.044	0.038	0.024	0.031	0.025	0.058	0.049	0.030	0.030	0.098	0.035	0.037	0.010	0.050	0.021	0.097	0.129
maincategory	0.112	0.261	0.314	0.129	0.177	0.488	0.738	0.239	0.168	0.118	0.200	0.172	0.201	0.144	0.324	0.171	0.557	0.143	0.106	0.171	0.137	1.000	0.189	0.228	0.282	0.201	0.744	0.049	0.160	0.063	0.000	0.004	0.159	0.003	0.003	0.029	0.027	0.014	0.160	0.003	0.138	0.124	0.522	0.000	0.136	0.028	0.100	0.434
isMajor	0.133	0.046	0.088	0.136	0.152	0.283	0.250	0.390	0.396	0.212	0.115	0.062	0.137	0.047	0.282	0.100	0.070	0.045	0.060	0.089	0.072	0.189	1.000	0.304	0.162	0.185	0.182	0.139	0.081	0.085	0.000	0.000	0.032	0.000	0.000	0.000	0.083	0.000	0.018	0.000	0.000	0.026	0.129	0.000	0.022	0.038	0.233	0.023
closuretype	0.071	0.041	0.084	0.113	0.090	0.148	0.250	0.545	0.422	0.178	0.284	0.082	0.646	0.064	0.199	0.072	0.106	0.061	0.050	0.130	0.065	0.228	0.304	1.000	0.661	0.207	0.219	0.069	0.108	0.317	0.000	0.005	0.089	0.015	0.000	0.000	0.020	0.006	0.114	0.000	0.110	0.103	0.244	0.004	0.529	0.026	0.236	0.062
lanesaffected	0.061	0.268	0.082	0.083	0.035	0.137	0.215	0.212	0.170	0.115	0.192	0.081	0.491	0.083	0.122	0.076	0.121	0.063	0.054	0.092	0.072	0.282	0.162	0.661	1.000	0.190	0.295	0.048	0.172	0.244	0.000	0.000	0.096	0.000	0.000	0.000	0.016	0.000	0.136	0.000	0.076	0.145	0.220	0.000	0.491	0.028	0.093	0.260
ended	0.296	0.067	0.104	0.074	0.087	0.193	0.269	0.239	0.187	0.148	0.095	0.082	0.108	0.047	0.226	0.088	0.114	0.030	0.054	0.121	0.039	0.201	0.185	0.207	0.190	1.000	0.128	0.039	0.072	0.039	0.000	0.005	0.022	0.000	0.000	0.013	0.020	0.000	0.083	0.000	0.062	0.002	0.115	0.000	0.049	0.022	0.084	0.105
multi_vehicle	0.069	0.064	0.154	0.121	0.051	0.848	0.877	0.169	0.182	0.100	0.183	0.069	0.209	0.057	0.239	0.162	0.079	0.017	0.020	0.119	0.022	0.744	0.182	0.219	0.295	0.128	1.000	0.045	0.121	0.039	0.000	0.018	0.095	0.000	0.000	0.023	0.030	0.014	0.087	0.000	0.048	0.088	0.358	0.000	0.074	0.026	0.073	0.058
Crime Scene	0.086	0.032	0.072	0.154	0.158	0.323	0.128	0.376	0.282	0.074	0.046	0.087	0.030	0.098	0.298	0.067	0.054	0.076	0.107	0.081	0.110	0.049	0.139	0.069	0.048	0.039	0.045	1.000	0.075	0.038	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.015	0.052	0.000	0.016	0.000	0.000	0.000
Tow Truck	0.058	0.055	0.061	0.062	0.023	0.192	0.196	0.094	0.069	0.094	0.039	0.076	0.120	0.076	0.553	0.062	0.064	0.052	0.044	0.065	0.031	0.160	0.081	0.108	0.172	0.072	0.121	0.075	1.000	0.051	0.000	0.000	0.033	0.000	0.000	0.000	0.000	0.000	0.072	0.000	0.035	0.040	0.180	0.000	0.153	0.000	0.036	0.009
Transport for NSW	0.080	0.073	0.094	0.099	0.061	0.100	0.110	0.218	0.162	0.080	0.111	0.253	0.256	0.108	0.482	0.093	0.129	0.012	0.077	0.026	0.047	0.063	0.085	0.317	0.244	0.039	0.039	0.038	0.051	1.000	0.000	0.026	0.015	0.000	0.000	0.000	0.000	0.007	0.037	0.000	0.056	0.343	0.143	0.000	0.475	0.016	0.077	0.055
Bus company	0.038	0.049	0.000	0.000	0.000	0.078	0.000	0.000	0.031	0.069	0.000	0.015	0.053	0.006	0.000	0.010	0.000	0.022	0.008	0.000	0.019	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.000	0.000
Tyre fitter	0.043	0.021	0.029	0.059	0.000	0.037	0.099	0.000	0.000	0.000	0.016	0.063	0.000	0.043	0.031	0.037	0.035	0.045	0.031	0.028	0.044	0.004	0.000	0.005	0.000	0.005	0.018	0.000	0.000	0.026	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.063	0.020	0.000	0.000	0.000	0.000	0.000
Mechanic	0.059	0.017	0.055	0.035	0.077	0.449	0.167	0.049	0.034	0.028	0.082	0.069	0.109	0.057	0.160	0.051	0.054	0.035	0.066	0.039	0.038	0.159	0.032	0.089	0.096	0.022	0.095	0.000	0.033	0.015	0.000	0.000	1.000	0.000	0.057	0.000	0.038	0.000	0.086	0.000	0.017	0.027	0.104	0.000	0.070	0.000	0.012	0.016
Sydney Ports	0.000	0.000	0.053	0.090	0.000	0.012	0.015	0.078	0.000	0.000	0.000	0.047	0.000	0.026	0.000	0.021	0.017	0.026	0.023	0.050	0.024	0.003	0.000	0.015	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Local Council	0.025	0.000	0.000	0.000	0.000	0.021	0.015	0.015	0.000	0.000	0.000	0.023	0.011	0.017	0.039	0.021	0.017	0.028	0.041	0.031	0.031	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.057	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
NRMA	0.058	0.000	0.004	0.033	0.000	0.020	0.019	0.000	0.000	0.000	0.000	0.016	0.020	0.017	0.032	0.000	0.045	0.019	0.027	0.027	0.025	0.029	0.000	0.000	0.000	0.013	0.023	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.010	0.000	0.000	0.000	0.000	0.000
Heavy Vehicle Inspectors	0.051	0.000	0.030	0.029	0.000	0.063	0.135	0.024	0.023	0.026	0.027	0.061	0.007	0.087	0.196	0.073	0.044	0.059	0.046	0.053	0.058	0.027	0.083	0.020	0.016	0.020	0.030	0.000	0.000	0.000	0.000	0.000	0.038	0.000	0.000	0.000	1.000	0.000	0.082	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.000
Sweeper	0.059	0.006	0.080	0.025	0.022	0.126	0.112	0.000	0.000	0.220	0.022	0.059	0.033	0.057	0.175	0.041	0.044	0.050	0.036	0.025	0.049	0.014	0.000	0.006	0.000	0.000	0.014	0.000	0.000	0.007	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.041	0.012	0.000	0.000	0.000	0.000	0.000
Heavy vehicle tow truck	0.048	0.045	0.072	0.075	0.135	0.326	0.327	0.052	0.061	0.066	0.044	0.102	0.101	0.066	0.280	0.085	0.031	0.053	0.087	0.087	0.030	0.160	0.018	0.114	0.136	0.083	0.087	0.000	0.072	0.037	0.000	0.000	0.086	0.000	0.000	0.000	0.082	0.000	1.000	0.000	0.015	0.109	0.091	0.000	0.094	0.000	0.000	0.024
Tyre Fitter	0.000	0.000	0.023	0.000	0.000	0.012	0.015	0.000	0.000	0.000	0.000	0.033	0.000	0.022	0.000	0.015	0.000	0.026	0.023	0.055	0.030	0.003	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.023	0.000	0.000	0.000	0.000	0.000	0.000
Utility Company	0.042	0.038	0.094	0.080	0.282	0.083	0.151	0.158	0.054	0.140	0.151	0.057	0.065	0.050	0.266	0.096	0.047	0.061	0.045	0.057	0.098	0.138	0.000	0.110	0.076	0.062	0.048	0.000	0.035	0.056	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.015	0.000	1.000	0.031	0.046	0.000	0.033	0.000	0.000	0.000
Motorway Crew	0.030	0.019	0.122	0.212	0.054	0.118	0.145	0.130	0.120	0.042	0.271	0.512	0.174	0.197	0.118	0.137	0.091	0.017	0.023	0.024	0.035	0.124	0.026	0.103	0.145	0.002	0.088	0.015	0.040	0.343	0.000	0.063	0.027	0.000	0.000	0.000	0.000	0.041	0.109	0.023	0.031	1.000	0.203	0.000	0.160	0.000	0.037	0.018
Emergency services	0.065	0.063	0.172	0.195	0.051	0.293	0.525	0.236	0.200	0.151	0.207	0.185	0.092	0.097	0.612	0.196	0.096	0.051	0.144	0.196	0.037	0.522	0.129	0.244	0.220	0.115	0.358	0.052	0.180	0.143	0.003	0.020	0.104	0.000	0.000	0.010	0.028	0.012	0.091	0.000	0.046	0.203	1.000	0.000	0.383	0.030	0.108	0.026
Roadside Assistance	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.014	0.000	0.010	0.000	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000
Other	0.065	0.037	0.108	0.126	0.036	0.108	0.127	0.528	0.293	0.054	0.046	0.119	0.452	0.099	0.360	0.095	0.158	0.054	0.081	0.133	0.050	0.136	0.022	0.529	0.491	0.049	0.074	0.016	0.153	0.475	0.000	0.000	0.070	0.000	0.000	0.000	0.000	0.000	0.094	0.000	0.033	0.160	0.383	0.000	1.000	0.000	0.039	0.103
Helicopter	0.026	0.000	0.024	0.058	0.000	0.061	0.072	0.033	0.072	0.074	0.000	0.027	0.000	0.035	0.088	0.023	0.018	0.035	0.030	0.029	0.021	0.028	0.038	0.026	0.028	0.022	0.026	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.030	0.000	0.000	1.000	0.000	0.000
Crash Investigation Unit	0.120	0.031	0.174	0.151	0.209	0.146	0.197	0.196	0.270	0.138	0.061	0.073	0.082	0.096	0.320	0.090	0.089	0.078	0.058	0.119	0.097	0.100	0.233	0.236	0.093	0.084	0.073	0.000	0.036	0.077	0.000	0.000	0.012	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.037	0.108	0.000	0.039	0.000	1.000	0.000
starttime_year	0.111	0.865	0.259	0.152	0.143	0.148	0.105	0.474	0.159	0.000	0.127	0.190	0.089	0.132	0.707	0.129	0.672	0.150	0.107	0.158	0.129	0.434	0.023	0.062	0.260	0.105	0.058	0.000	0.009	0.055	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.000	0.018	0.026	0.000	0.103	0.000	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Unnamed 0	id	maincategory	longitude	latitude	duration	subCategoryA	displayname	adviceA	adviceB	closuretype	direction	mainstreet	lanesaffected	lanes	suburb	ended	count_attending	distance_to_CBD	multi_vehicle	Tow Truck	Transport for NSW	Emergency services	Other	starttime_year	starttime_month	starttime_day	starttime_weekday	starttime_hour	starttime_minute
0	1	109657	1	151.112224	-33.869671	26.506333	1	51	6	29	2	3	427	1.0	3.0	48	1	2	8.745760	1	1	0	1	0	2022	1	3	0	15	38
1	2	109740	0	151.138848	-33.886081	92.071500	14	5	6	0	2	3	427	1.0	4.0	284	1	1	6.432342	0	0	1	0	0	2022	1	4	1	19	52
2	3	109775	1	150.917528	-33.930564	26.936617	14	76	13	12	2	5	220	2.0	3.0	171	1	2	27.486672	0	1	0	1	0	2022	1	5	2	11	18
3	4	109797	0	150.980470	-33.929139	67.898050	33	33	1	12	2	7	207	1.0	5.0	191	1	2	21.819263	0	0	1	1	0	2022	1	5	2	15	35
4	5	109799	0	151.098833	-33.867937	145.929383	33	33	1	0	0	3	427	-1.0	-1.0	73	1	1	9.993229	0	0	0	0	1	2022	1	5	2	15	41
5	6	110006	1	151.059994	-34.081427	44.489717	14	76	6	0	0	1	474	-1.0	-1.0	261	1	1	26.775148	0	0	0	1	0	2022	1	7	4	13	36
6	7	110242	1	150.958972	-33.960171	13.004050	36	130	13	12	0	7	204	-1.0	-1.0	137	1	2	24.850858	1	0	1	1	0	2022	1	11	1	7	35
7	8	110414	1	151.298005	-33.744830	182.683833	1	51	6	29	0	7	438	-1.0	-1.0	72	1	1	16.565837	1	0	0	1	0	2022	1	13	3	10	11
8	9	110564	0	151.131191	-33.876689	15.976050	14	5	0	0	2	8	550	1.0	2.0	130	1	1	6.991997	0	0	0	0	1	2022	1	14	4	16	4
9	10	110697	0	151.213335	-33.849230	16.893567	14	5	6	29	2	7	505	1.0	2.0	216	1	1	2.734562	0	0	1	0	0	2022	1	16	6	14	1

	Unnamed 0	id	maincategory	longitude	latitude	duration	subCategoryA	displayname	adviceA	adviceB	otherAdvice	closuretype	direction	mainstreet	lanesaffected	lanes	suburb	ended	count_attending	distance_to_CBD	multi_vehicle	Tow Truck	Transport for NSW	Emergency services	Other	starttime_year	starttime_month	starttime_day	starttime_weekday	starttime_hour	starttime_minute
11023	17086	43155	2	151.034000	-33.721500	33.930500	0	46	4	36	25	0	1	37	-1.0	-1.0	234	0	0	23.214513	1	0	0	0	0	2019	11	14	3	11	39
11024	17089	95659	1	151.073818	-33.855467	12.941500	36	130	6	20	0	2	7	213	4.0	5.0	138	1	3	12.448438	1	1	1	1	0	2021	6	24	3	13	18
11025	17091	109547	1	151.074050	-33.806323	7.544550	41	48	6	1	0	2	8	527	2.0	3.0	313	0	1	14.343471	0	0	1	0	0	2022	1	1	5	1	8
11026	17095	101976	1	151.021004	-33.831351	109.573117	41	76	13	12	0	2	3	293	2.0	4.0	71	0	2	17.797899	0	0	1	1	0	2021	10	10	6	3	3
11027	17096	101976	1	151.021004	-33.831351	113.105833	41	76	13	12	0	2	3	293	2.0	4.0	71	0	2	17.797899	0	0	1	1	0	2021	10	10	6	3	3
11028	17098	108252	2	151.266388	-33.871483	31.254567	41	47	1	12	0	0	3	390	-1.0	-1.0	255	0	1	5.530488	0	0	0	0	1	2021	12	15	2	11	56
11029	17099	108252	2	151.266388	-33.871483	66.139667	41	47	1	12	0	0	3	390	-1.0	-1.0	255	0	1	5.530488	0	0	0	0	1	2021	12	15	2	11	56
11030	17100	108252	2	151.266388	-33.871483	126.496500	41	47	1	12	0	0	3	390	-1.0	-1.0	255	0	1	5.530488	0	0	0	0	1	2021	12	15	2	11	56
11031	17101	108252	2	151.266388	-33.871483	220.781667	41	47	1	12	0	0	3	390	-1.0	-1.0	255	0	1	5.530488	0	0	0	0	1	2021	12	15	2	11	56
11032	17102	108252	2	151.266388	-33.871483	267.197567	41	47	1	12	0	0	3	390	-1.0	-1.0	255	0	1	5.530488	0	0	0	0	1	2021	12	15	2	11	56

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks